An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis
文献类型：期刊论文
| 作者 | Xiong, Jie1,2; Bing, Zhitong3 ; Su, Yanlin2; Deng, Defeng4; Peng, Xiaoning1,2
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| 刊名 | PLOS ONE
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| 出版日期 | 2014-05-28 |
| 卷号 | 9 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0098419 |
| 文献子类 | Article |
| 英文摘要 | Although patients with Glioblastoma multiforme (GBM) have grave prognosis, significant variability in patient outcome is observed. The objective of this study is to identify a molecular signature for GBM prognosis. We subjected 355 mRNA and microRNA expression profiles to elastic net-regulated Cox regression for identification of an integrated RNA signature for GBM prognosis. A prognostic index (PI) was generated for patient stratification. Survival comparison was conducted by Kaplan-Meier method and a general multivariate Cox regression procedure was applied to evaluate the independence of the PI. The abilities and efficiencies of signatures to predict GBM patient outcome was assessed and compared by the area under the curve (AUC) of the receiver-operator characteristic (ROC). An integrated RNA prognostic signature consisted by 4 protective mRNAs, 12 risky mRNAs, and 1 risky microRNA was identified. Decreased survival was associated with being in the high-risk group (hazard ratio = 2.864, P<0.0001). The prognostic value of the integrated signature was validated in five independent GBM expression datasets (n = 201, hazard ratio = 2.453, P<0.0001). The PI outperformed the known clinical factors, mRNA-only, and miRNA-only prognostic signatures for GBM prognosis (area under the ROC curve for the integrated RNA, mRNA-only, and miRNA-only signatures were 0.828, 0.742, and 0.757 at 3 years of overall survival, respectively, P<0.0001 by permutation test). We describe the first, to our knowledge, robust transcriptome-based integrated RNA signature that improves the current GBM prognosis based on clinical variables, mRNA-only, and miRNA-only signatures. |
| WOS关键词 | REGULARIZATION PATHS ; PREDICTING SURVIVAL ; COORDINATE DESCENT ; MALIGNANT GLIOMA ; GRADE ; BIOCONDUCTOR ; TEMOZOLOMIDE ; INHIBITOR ; CONTAINS ; PATHWAYS |
| 资助项目 | Graduate Student Innovation Project of Hunan[CX2013B224] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| WOS记录号 | WOS:000336858300042 |
| 源URL | [http://119.78.100.186/handle/113462/49797]  |
| 专题 | 中国科学院近代物理研究所 |
| 通讯作者 | Peng, Xiaoning |
| 作者单位 | 1.Hunan Normal Univ, Coll Math & Comp Sci, Dept Stat, Changsha, Hunan, Peoples R China 2.Hunan Normal Univ, Dept Mol Epidemiol, Coll Med, Changsha, Hunan, Peoples R China 3.Chinese Acad Sci, Inst Modern Phys, Dept Computat Phys, Lanzhou, Peoples R China 4.Univ Texas MD Anderson Canc Ctr, Dept Canc Biol, Houston, TX 77030 USA |
| 推荐引用方式 GB/T 7714 | Xiong, Jie,Bing, Zhitong,Su, Yanlin,et al. An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis[J]. PLOS ONE,2014,9. |
| APA | Xiong, Jie,Bing, Zhitong,Su, Yanlin,Deng, Defeng,&Peng, Xiaoning.(2014).An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis.PLOS ONE,9. |
| MLA | Xiong, Jie,et al."An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis".PLOS ONE 9(2014). |
入库方式： OAI收割
来源：近代物理研究所
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